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Added 1 min ago
AI/ML Engineering Staff (Signal Processing)
Lockheed Martin
Moorestown, NJ
…generation through development, integration, and testing, as well as research in some organizations. Develops, integrates, and implements algorithms to enable perception, motion/mission…
Added 1 min ago
AI/ML Engineering Staff (Electronic Warfare)
Lockheed Martin
Mount Laurel, NJ
…generation through development, integration, and testing, as well as research in some organizations. Develops, integrates, and implements algorithms to enable perception, motion/mission…
Added 12 mins ago
Staff AI Research Engineer
Duolingo
NY · Pittsburgh, PA
We are looking for an experienced AI Research Engineer to join our Speech team. The ideal candidate will have a proven track record as an AI research engineer, with experience across…
Added 19 mins ago
Principal Machine Learning Engineer
Amgen
Washington D.C., DC
We are seeking a Principal Machine Learning Engineer - Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI solutions.…
Added 20 mins ago
AS
Software Engineering - Software Engineer II - 3054592
Apex Systems, Inc.
Redmond, WA
- $58 to $68 USD / hour
This position is for a Machine Learning Engineer focused on Perceptual Audio Evaluation. The role involves owning and sustaining a family of production machine learning models. Daily…
Added 23 mins ago
Senior Staff Full-stack Engineer - Customer Resiliency (Senior Director, IC) (Remote-Eligible)
Capital One
Jefferson City, MO
As a Senior Staff Engineer (Senior Director level, Individual Contributor) at Capital One, you will be part of a community of technical experts working to define the future of banking in…
Added 26 mins ago
Staff Machine Learning Engineer - Matching, Apple Ads
Apple
Cupertino, CA
…growth of the business for the future. We are looking for a Machine Learning Engineer that will develop the algorithms for our retrieval…
Added 30 mins ago
AI Engineer
Avanza LLC
Arlington, VA
Proficient in deploying models via Azure Machine Learning, Azure AI Studio, or AI Foundry.
Added 34 mins ago
Data Engineer & Insights Analyst
Global Data Consultants
Harrisburg, PA
Engineer analytical data environments that support statistical analysis, predictive modeling, machine learning, and evidence-building activities.
Added 35 mins ago
Machine Learning Engineer
Qualtrics
Seattle, WA
Qualtrics, LLC seeks Machine Learning Engineer in Seattle, WA.
Added 38 mins ago
Senior/Staff System Research Engineer - LLM Inference Optimization
Snowflake Inc.
Bellevue, WA
Open-source and publish innovations through technical blogs and top-tier systems and machine learning conferences.
Added 44 mins ago
AI & Machine Learning Engineering Consultant - Databricks - Senior - Consulting - Location OPEN
EY
Saint Louis, MO
As a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing…
Added 44 mins ago
AI & Machine Learning Engineering Consultant - Databricks - Senior - Consulting - Location OPEN
EY
Kansas City, MO
As a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing…
Added 44 mins ago
AI & Machine Learning Engineering Consultant - Databricks - Senior - Consulting - Location OPEN
EY
Jefferson City, MO
As a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing…
Added 46 mins ago
Real-Time Software Engineer
LEIDOS, INC.
Arlington, VA
…from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal…
Added 47 mins ago
EH
Senior ML Engineer, Agentic AI
Ellipsis Health
San Francisco, CA
- $160,000 to $210,000 USD / year
- Research-to-Production Translation: Bridge the gap between frontier machine learning research and enterprise software design. Implement and adapt state-of-the-art techniques in…
Added 58 mins ago
Computer Vision & Machine Learning Engineer
Apple
Sunnyvale, CA
We are a team of computer vision and machine learning engineers building real-time perception systems, motion synthesis, and human understanding technologies for current and future Apple…
Added 1 hour ago
Cloud Engineer (Cloud Engineer 3) 30895
Huntington Ingalls Industries
Fairfax, VA
HII Mission Technologies is seeking a Cloud Engineer to join our IT Engineering DevSecOps team! As a Cloud Engineer on our team, you’ll directly contribute to tool and capability…
Added 1 hour ago
Data Scientist/Engineer
BWXT
Lynchburg, VA
BWXT Advanced Technologies (AT) is seeking a Computer Vision / Machine Learning R&D Engineer with an interest in applications of computer vision to complex manufacturing processes. Your…
Added 1 hour ago
System Safety Engineer, Mid
BOOZ, ALLEN & HAMILTON, INC.
Arlington, VA
Experience with digital engineering, machine learning and artifi cia l intelligence, sof tware develop ment, solid-state electrical circuit design, unmanned systems design, human factors…
Added 1 hour ago
Staff Analytics Engineer
GE Vernova International LLC
United States
As a Staff Analytics Engineer, for GE Vernova Wind’s FPM Data & Analytics team, you must have a good understanding of basic Wind Turbine equipment – reliability and failure causes, ability…
Added 1 hour ago
L
Applied AI Engineer, Team Lead
Luminai
San Mateo, CA · New York, NY
- $200,000 to $350,000 USD / year
As a Lead Software Engineer working on AI systems, you will play a foundational role in research, experimentation and rapid improvement of AI systems towards building a capable, reliable AI…
Added 1 hour ago
Optical Systems Student Engineer
KLA Corporation
Milpitas, CA
…tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want…
Added 1 hour ago
Senior Software Engineer, Agentic Platform - Moveworks
ServiceNow
Mountain View, CA
…large language models meet distributed systems. You'll apply machine learning, LLM, and distributed systems expertise to make agents plan, reason, and use tools reliably, and you'll build…
Added 1 hour ago
Senior Software Engineer – Scientific Instrumentation and Process Engineering
Allen Institute
Seattle, WA
We are searching for a Senior Software Engineer that will provide technical leadership and hands-on software development for complex automated systems in which software controls and…

Closed listing

Capital One

Machine Learning Engineer 5 (IC)

McLean, VA, United States
Richmond, VA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Machine Learning Engineer 5 (IC)

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

What You’ll Do:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

Basic Qualifications:

Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Preferred Qualifications:

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
5+ years of experience optimizing ML algorithms, configurations, and infrastructure
5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans
5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5

New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5

Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5

San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5

San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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